Softwr

Machine Learning · head to head

JMP vs RunPod

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Free plan
Yes
Full reviewWebsite
RunPod logo

RunPod

AI

GPU cloud for AI and ML

From
$0.2/per-hour
Free plan
No
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.; RunPod idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
  • They diverge on capability: JMP covers Custom design of experiments, RunPod covers GPU instances.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and RunPod actually diverge.

Attributes where JMP and RunPod differ
AttributeJMPRunPod
Starting priceFree$0.2/per-hour
Pricing modelsubscriptionusage-based
Free tierYesNo
PlatformsMac, WindowsCloud, Api
CategoryMachine LearningAI
Founded19762022

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

Only in RunPod

  • GPU instances
  • Serverless
  • Templates
  • Persistent storage
  • Docker
  • REST API
  • SSH access
  • Cloud support

What people use each for

The jobs each tool is most often brought in to do.

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot RunPod
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot RunPod
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot RunPod
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot RunPod

RunPod

  • Renting GPU compute by the second for model training and inferencenot JMP
  • Running serverless GPU workers that scale with request volumenot JMP
  • Attaching persistent network storage shared across GPU podsnot JMP

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

RunPod

  • Idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
  • Reserved clusters of all terms from 1 to 12 months are priced by contacting sales with no published rate
  • L40S, H100 SXM and B200 cluster configurations are listed as contact sales rather than at a published hourly rate
  • High performance network storage costs $0.14 per GB per month, twice the standard sub 1TB rate of $0.07

Pricing, plan by plan

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

RunPod

$0.2/per-hour
  • Community Cloud$0.2/per-hour
    • Affordable GPUs
    • Spot instances
  • Secure Cloud$0.44/per-hour
    • Enterprise security
    • Dedicated hardware

Which should you pick?

Choose JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.
JMP review

Choose RunPod if

  • You need gpu instances.
  • You work on Cloud, Api.
  • You also want serverless.
RunPod review

Questions people ask

Is JMP or RunPod better?
Neither clearly leads. JMP starts at Free and RunPod at $0.2/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or RunPod?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $0.2/per-hour for RunPod.
Does JMP or RunPod run on more platforms?
JMP runs on Mac, Windows. RunPod runs on Cloud, Api.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. RunPod starts at $0.2/per-hour.
What is JMP best used for?
JMP is most often used for planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Of those, planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already have and process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator are not what RunPod is typically brought in for.
What can JMP do that RunPod cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. RunPod covers GPU instances, Serverless, Templates, Persistent storage.

Answered from the vendors’ own pages

JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

RunPod: What is the pricing model for Runpod GPU compute?

Runpod uses usage-based pricing billed per second rather than fixed subscriptions. GPU pod pricing ranges from $0.27/hour for budget options like RTX A5000 to $7.89/hour for high-end options like B300. Serverless inference is billed based on worker usage.

Source
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

RunPod: Are there minimum contracts or commitments required to use Runpod?

No minimum contracts or commitments are required for on-demand services. Per-second billing is available, and you pay only for what you use. Long-term commitments offer additional savings through reserved capacity options.

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

RunPod: What are the storage costs on Runpod?

Storage pricing is tiered: Container Disk costs $0.10/GB/month, Volume Disk costs $0.10/GB/month when running or $0.20/GB/month when idle, and Network Storage ranges from $0.05-$0.07/GB/month for standard to $0.14/GB/month for high-performance.

Source
JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

RunPod: Does Runpod charge egress fees for data transfer?

No, Runpod does not charge egress fees when using persistent network storage, which helps reduce data transfer costs for workloads that need to move data in and out frequently.

Source
JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

RunPod: How does Runpod Serverless handle cold starts and idle costs?

Runpod Serverless offers zero idle cost and sub-200ms cold starts via FlashBoot technology. There is no warm-up tax, meaning you don't pay for idle capacity or accept cold-start latency penalties.

Source
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